Disease severity classification using passively collected smartphone-based keystroke dynamics within multiple sclerosis.

ABSTRACT: Multiple Sclerosis (MS) is a progressive demyelinating disease of the central nervous system characterised by a wide range of motor and non-motor symptoms. The level of disability of people with MS (pwMS) is based on a wide range of clinical measures, though their frequency of evaluation and inaccuracies coming from objective and self-reported evaluations limits these assessments. Alternatively, remote health monitoring through devices can offer a cost-efficient solution to gather more reliable, objective measures continuously. Measuring smartphone keyboard interactions is a promising tool since typing and, thus, keystroke dynamics are likely influenced by symptoms that pwMS can experience. Therefore, this paper aims to investigate whether keyboard interactions gathered on a person's smart

SUBMITTER: Hoeijmakers A 

PROVIDER: S-EPMC9892592 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature